Protected: From Impressive Demos to Dependable Systems:Aswathnarayan Muthukrishnan Kirubakaran on Building AI People Can Rely On

A model can produce an impressive answer in a demonstration. Making that answer dependable in a live system, with imperfect data, failing dependencies and real users, is a different problem. Aswathnarayan Muthukrishnan Kirubakaran, a Senior Data Engineer working at the intersection of data engineering, artificial intelligence and production systems, focuses on that gap. His career spans technology and healthcare, and alongside his industry work he researches reliable AI systems, distributed retrieval and multi-agent interoperability. An IEEE Senior Member, he also contributes through peer review, mentoring and speaking engagements. In this conversation with The BizTech Bytes, he discusses what makes complex systems dependable beyond a prototype, and why the surrounding system matters as much as the model.

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Aswathnarayan Muthukrishnan Kirubakaran is a Senior Data Engineer whose work spans data engineering and reliable AI systems. His published research explores distributed retrieval, multi-agent interoperability, and methods for making AI systems more dependable. He is an IEEE Senior Member and contributes to the technology community through research, peer review, and speaking engagements.

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